Marian Mazzone

827 citations
9 papers · 244 indexed · h-index 4
Topics
Aesthetic Perception and Analysis (5 papers)Generative Adversarial Networks and Image Synthesis (3 papers)Image Retrieval and Classification Techniques (3 papers)
Journals
SHILAP Revista de lepidopterologíaLeonardoThird Text
Partner nations
United StatesNetherlands

In The Last Decade

Marian Mazzone

7 papers receiving 226 citations

Peers

Marian Mazzone
Comparison fields: 5 of 65
  • Cognitive Neuroscience 94
  • Computer Vision and Pattern Recognition 50
  • Experimental and Cognitive Psychology 43
  • Human-Computer Interaction 43
  • Artificial Intelligence 40
Replace Jinhan Choi with:
Jinhan Choi South Korea
Ray Lc Hong Kong
Paul Pangaro United States
Nasrin Dehbozorgi United States
Branden Thornhill-Miller United Kingdom
Katy Ilonka Gero United States
Tom Hewett United States
Oliver Grau Austria
Mick Wallis United Kingdom
Rhema Linder United States
Marian Mazzone relative to Jinhan Choi South Korea Jinhan Choi's profile →
Citations per field
00.5×2.8×
Jinhan Choi · 1×
Citations per year

Countries citing papers authored by Marian Mazzone

Since Specialization
Citations

This map shows the geographic impact of Marian Mazzone's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marian Mazzone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Mazzone more than expected).

Fields of papers citing papers by Marian Mazzone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marian Mazzone. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marian Mazzone. The network helps show where Marian Mazzone may publish in the future.

Co-authorship network of co-authors of Marian Mazzone

This figure shows the co-authorship network connecting the top 25 collaborators of Marian Mazzone. A scholar is included among the top collaborators of Marian Mazzone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marian Mazzone. Marian Mazzone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 12
3 213
4
Computational Analysis of Content in Fine Art Paintings.
2
5 7
6 0
7 7
8 1
9 1

About Marian Mazzone

Marian Mazzone is a scholar working on Architecture, Visual Arts and Performing Arts and Human-Computer Interaction, having authored 9 papers that have together received 244 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Health Informatics (12 citations), Human-Computer Interaction (43 citations) and Computer Graphics and Computer-Aided Design (27 citations). Marian Mazzone has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Ahmed Elgammal, Bingchen Liu, Bill Manaris, Renée McCauley, William Bares and Jason Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Leonardo and Third Text.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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